{"id":"W2955835624","doi":"10.12927/hcq.2019.25841","title":"Frailty and Aging: How the Danish Experience Might Inform Canada","year":2019,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Foundation for Healthcare Improvement; Sinai Health System; Canadian Institutes of Health Research; British Columbia Academic Health Science Network; Health PEI; Government of Northwest Territories; Yukon Health and Social Services; Government of Prince Edward Island; Office of the Chief Medical Examiner; Carbon Engineering (Canada); Kingston Health Sciences Centre","funders":"","keywords":"Danish; Population ageing; Health care; Gerontology; Healthcare system; Successful aging; Best practice; Medicine; Population; Environmental health; Political science; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009867315,0.0002364591,0.0004855599,0.002094472,0.007375272,0.009190189,0.001026426,0.001461358,0.003982673],"category_scores_gemma":[0.03852852,0.0002591212,0.0003623007,0.004362082,0.003404662,0.00227185,0.003395218,0.002742289,0.0001626756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09655497,"about_ca_system_score_gemma":0.1211142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9874151,"about_ca_topic_score_gemma":0.9888874,"domain_scores_codex":[0.9942144,0.001989588,0.000459046,0.0003982599,0.001364707,0.00157403],"domain_scores_gemma":[0.9710765,0.01044987,0.002188124,0.0009228524,0.01036238,0.005000256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006440765,0.0002237792,0.3028616,0.0008677235,0.00032569,0.002760206,0.136097,0.005218993,0.0003820415,0.300395,0.1623158,0.08790814],"study_design_scores_gemma":[0.00007931796,0.0000820165,0.2561974,0.002859698,0.0002102425,0.0004951075,0.2058496,0.004059277,0.0003855338,0.03040074,0.4989239,0.0004570996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4983409,0.02470903,0.00128376,0.3639756,0.0009595748,0.00007700205,0.007693566,0.0000235411,0.1029369],"genre_scores_gemma":[0.9789196,0.008487037,0.000681775,0.00669059,0.0001009018,0.00001751895,0.0007249751,0.00001981947,0.004357709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09655497,"threshold_uncertainty_score":0.7005587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1991352818333938,"score_gpt":0.3791592890665006,"score_spread":0.1800240072331068,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}